Workday Implementation Tester

MACHINE LEARNING TECHNOLOGIES LLC; Saint Paul (MN); On-site; USD 96,000 - 165,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Workday Implementation Tester in Saint Paul, MN for a 13-month engagement with extension possibilities. The role requires senior-level Workday testing expertise, including HCM and Financials modules, regression and end-to-end testing, and strong coordination across workstreams.

Hourly DOE, on-site, with varied work authorization accepted. The tester will participate in upcoming End-to-End Testing, Parallel Testing, and ensure testing completeness

Qualifications

• Must have prior Workday integrations experience (HCM and Financials) and strong Workday testing skills.
• Experience in developing and executing user test scripts.
• Ability to coordinate across multiple workstreams and testing environments.

Responsibilities

• Lead testing activities for Workday HCM and Financials.
• Develop and execute user test scripts for end-to-end testing.
• Coordinate across multiple workstreams and testing environments.
• Validate results during end-to-end and parallel testing phases.

Skills

Workday testing

End-to-end testing

Regression testing

Test script development

Cross-workstream coordination

Tools

Cognizant testing tools

Job description

Job Overview

Job ID: J52712

Job Title: Workday Implementation Tester

Location: saint Paul, MN

Duration: 13 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Must have prior experience with Workday integrations (HCM and Financial modules- both are required), and strong Workday Testing skills (regression testing, end-to end testing in Workday, etc.). This person will be a Senior/Lead/Principal level tester on the team and must be able to hit the ground running.

Project Background

The client is in the advanced stages of a Workday implementation that began on April 1, 2025, with a targeted go-live date of January 1, 2027. The project has been running for approximately one year and is now approaching critical testing phases.

Scope of Implementation

• Modules: HCM, Financials, Budgeting, and UNA.
• Architecture: Minimal customizations; standardized APIs.
• Testing Tools: Utilizing tools provided by Cognizant.
• Integration: Straightforward configuration with limited complexity.

Testing Structure

• Current Phase: Preparing for End-to-End Testing, followed by Parallel Testing.
• Requirements: Contractors must have prior experience with Workday testing cycles, including:
  • Developing and executing user test scripts.
  • Coordinating across multiple workstreams.
  • Managing parallel testing environments and validating results.

Key Considerations

• The implementation is largely standardized, reducing complexity but requiring disciplined execution of testing protocols.
• Familiarity with Workday HCM and Financials is essential.
• Ability to work collaboratively with internal stakeholders and external partners to ensure testing completeness and accuracy.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.